Search Results for author: Maxime Lenormand

Found 12 papers, 7 papers with code

Coupling in situ and remote sensing data to assess $α$- and $β$-diversity over biogeographic gradients

1 code implementation29 Apr 2024 Maxime Lenormand, Jean-Baptiste Féret, Guillaume Papuga, Samuel Alleaume, Sandra Luque

Despite prior investigations predominantly relying on limited datasets, our study endeavors to employ both in situ and RS data to assess plant and spectral species diversity across France at a high spatial resolution, integrating diverse metrics to unravel different biogeographical structures while gaining in understanding the relationship between plant and spectral diversity within and across bioregions.

Bioregionalization analyses with the bioregion R-package

no code implementations28 Mar 2024 Pierre Denelle, Boris Leroy, Maxime Lenormand

A typical bioregionalization workflow involves five different steps: formatting the input data, computing a (dis)similarity matrix, selecting a clustering algorithm, evaluating the resulting bioregionalization, and mapping and interpreting the bioregions.

Clustering Community Detection

Habitat connectivity in agricultural landscapes improving multi-functionality of constructed wetlands as nature-based solutions

no code implementations8 Jul 2022 Clémentine Préau, Julien Tournebize, Maxime Lenormand, Samuel Alleaume, Véronique Gouy Boussada, Sandra Luque

Our framework allowed us to identify optimal areas from the point of view of the species, to analyze the effect of multifunctional constructed wetlands aiming to both reduce water pollution and to improve amphibian species habitat overall connectivity.

Protection gaps in Amazon floodplains will increase with climate change: Insight from the world's largest scaled freshwater fish

no code implementations10 Feb 2022 Nicolas Dubos, Maxime Lenormand, Leandro Castello, Thierry Oberdorff, Antoine Guisan, Sandra Luque

While the efficiency of the protected area network of the Amazon basin may be jeopardised by climate change, floodplains are exposed to important consequences of climate change but are omitted from species distribution models and protection gap analyses.

Mapping of Ebola virus spillover: Suitability and seasonal variability at the landscape scale

no code implementations24 Aug 2021 Larisa Lee-Cruz, Maxime Lenormand, Julien Cappelle, Alexandre Caron, Hélène De Nys, Martine Peeters, Mathieu Bourgarel, François Roger, Annelise Tran

The unexpected Ebola virus outbreak in West Africa in 2014 involving the Zaire ebolavirus made clear that other regions outside Central Africa, its previously documented niche, were at risk of future epidemics.

Dispersal-based species pools as sources of connectivity area mismatches

1 code implementation14 May 2021 Clémentine Préau, Nicolas Dubos, Maxime Lenormand, Pierre Denelle, Marine Le Louarn, Samuel Alleaume, Sandra Luque

We found mismatches between existing corridors and connectivity in low dispersal species, and a greater impact in areas of expected urban sprawl projects on favourably connected areas for species with high dispersal capabilities.

Assessing the effect of sample bias correction in species distribution models

1 code implementation12 Mar 2021 Nicolas Dubos, Clémentine Préau, Maxime Lenormand, Guillaume Papuga, Sophie Montsarrat, Pierre Denelle, Marine Le Louarn, Stien Heremans, May Roel, Philip Roche, Sandra Luque

We tested whether the ROI better represented the effect of correction than classic performance metrics and absolute overlap metrics using 64 vertebrate species and 21 virtual species with a generated sample bias.

Comprehensive decision-strategy space exploration for efficient territorial planning strategies

no code implementations26 Nov 2019 Olivier Billaud, Maxence Soubeyrand, Sandra Luque, Maxime Lenormand

At the end, we perform a site suitability ranking analysis to assess the relationship between the four detected clusters.

Efficient Exploration

Biogeographical network analysis of plant species distribution in the Mediterranean region

1 code implementation6 Mar 2018 Maxime Lenormand, Guillaume Papuga, Olivier Argagnon, Maxence Soubeyrand, Guilhem De Barros, Samuel Alleaume, Sandra Luque

In this work, we performed a network analysis of the spatial distribution patterns of plants in south of France (Languedoc-Roussillon and Provence-Alpes-C\^ote d'Azur) to analyze the biogeographical structure of the French Mediterranean flora at different scales.

Generating OWA weights using truncated distributions

1 code implementation13 Sep 2017 Maxime Lenormand

Ordered weighted averaging (OWA) operators have been widely used in decision making these past few years.

Decision Making

Is spatial information in ICT data reliable?

1 code implementation12 Sep 2016 Maxime Lenormand, Thomas Louail, Marc Barthelemy, José J. Ramasco

These results confirm that ICT data are very useful sources for the spatial analysis of urban systems, but that their reliability should in general be tested more thoroughly.

Physics and Society Computers and Society

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